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Measured during the max-quality render run on dgx.casa on 2026-08-16/17, against main0b0b8900f (i.e. with #1041's threaded decode in). Reported by the operator from the render agent's per-phase sampler; the classification method is stated below so it can be disputed.
The finding
Two rungs completed. Phase classification came from the CPU-time rate in a 2 s sampler (>3 cores = threaded, 0.4-3 = one core, below = load/IO):
Rung
Wall
load/IO
one-core
threaded
peak cores
448x256 / 25f
3085 s
352 s (11.4%)
2023 s (65.6%)
705 s (22.9%)
29.8
704x448 / 25f
4231 s
330 s (7.8%)
2399 s (56.7%)
1497 s (35.4%)
30.9
Inside those one-core totals, a single contiguous phase measured 1731 s and 1732 s across the two rungs — i.e. essentially constant while the voxel count grew 2.75x (448x256 vs 704x448, same 25 frames). Only the later phases scale.
So the render cost now fits a fixed ~2300 s (load + this serial phase + the first threaded burst) plus ~2.7e-4 s per output voxel. #1041 removed the decode as the bottleneck and this phase inherited the position.
Why this matters more than the raw ratio
#1041 is real and it worked: the pool reaches 19-31 cores in the decode phases, and the decisive evidence is that 448x256/25f completed at all, in 3085 s — docs/USAGE.md still records that exact geometry as "Measured NOT to complete". But the ~9x is a decode figure and does not appear end to end, because a phase #1041 never touched is now ~57-66% of wall.
A resolution-independent serial cost is also the shape that punishes exactly the direction this campaign cares about: it is pure overhead on small renders and it does not amortise.
Once named, decide whether it is threadable the way the decode was, or whether it is the memory-format/serial gap between decode bursts that the same run observed scaling with voxels.
Re-derive the fixed/variable split on a third geometry before treating the two-point fit as a law. Two points define a line; they do not prove one.
Related: #1041 (the decode threading that landed), #1009, #1010 (per-phase timings), #1007 (no device arm), #1024 (GPU idle), and the investigation spec .agents/specs/ltx25-decode-speed.md.
Not measured: no oracle comparison, no ratio against vLLM or Lightricks, and the phase attribution is one-sided against our own engine.
Measured during the max-quality render run on
dgx.casaon 2026-08-16/17, againstmain0b0b8900f(i.e. with #1041's threaded decode in). Reported by the operator from the render agent's per-phase sampler; the classification method is stated below so it can be disputed.The finding
Two rungs completed. Phase classification came from the CPU-time rate in a 2 s sampler (
>3 cores= threaded,0.4-3= one core, below = load/IO):Inside those one-core totals, a single contiguous phase measured 1731 s and 1732 s across the two rungs — i.e. essentially constant while the voxel count grew 2.75x (448x256 vs 704x448, same 25 frames). Only the later phases scale.
So the render cost now fits a fixed ~2300 s (load + this serial phase + the first threaded burst) plus ~2.7e-4 s per output voxel. #1041 removed the decode as the bottleneck and this phase inherited the position.
Why this matters more than the raw ratio
#1041 is real and it worked: the pool reaches 19-31 cores in the decode phases, and the decisive evidence is that 448x256/25f completed at all, in 3085 s —
docs/USAGE.mdstill records that exact geometry as "Measured NOT to complete". But the ~9x is a decode figure and does not appear end to end, because a phase #1041 never touched is now ~57-66% of wall.A resolution-independent serial cost is also the shape that punishes exactly the direction this campaign cares about: it is pure overhead on small renders and it does not amortise.
What this owes
Related: #1041 (the decode threading that landed), #1009, #1010 (per-phase timings), #1007 (no device arm), #1024 (GPU idle), and the investigation spec
.agents/specs/ltx25-decode-speed.md.Not measured: no oracle comparison, no ratio against vLLM or Lightricks, and the phase attribution is one-sided against our own engine.
FOLLOWING_AGENTS_PROTOCOL
Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:claude-opus-5 [claude-code]